The cricket compass for context-aware mobile applications

Priyantha, Nissanka B.; Miu, Allen; Balakrishnan, Hari; Teller, Seth

doi:10.1145/381677.381679

Cited by 449 publications

(228 citation statements)

References 15 publications

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“…The system is based on a low-cost FPGA [16,17] and also inexpensive electronics. Nonetheless, the proposed system achieves a similar or better accuracy (few centimeters) than previous systems using a PC [7,8,9,10,11,12,13] with the exception of [14] which obtains an accuracy of millimeters but using also inertial sensors. The key component of the system, which is also a novelty, is the ad-hoc conditioning circuit for the amplification of the received ultrasonic signal.…”

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confidence: 81%

“…The position of the mobile nodes is calculated by an external PC. The MIT Cricket Indoor System [8,9] uses a passive architecture (transmitting anchor points and receiving mobile nodes), being decentralized. The mobile nodes calculate their positions with a room-sized granularity but the system provides an interface to allow better accuracy with an external device such as a PC.…”

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confidence: 99%

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Autonomous indoor ultrasonic positioning system based on a low-cost conditioning circuit

et al. 2012

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Esta es la versión de autor del artículo publicado en: This is an author produced version of a paper published in: an ad-hoc conditioning circuit based on instrumental amplifiers which provides high amplification keeping low noise. The proposed system is autonomous so there is no need of an external PC or other devices. A prototype of the system has been attached to a mobile robot to check the viability of the location system in a real scenario.

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confidence: 81%

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confidence: 99%

Autonomous indoor ultrasonic positioning system based on a low-cost conditioning circuit

et al. 2012

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“…Those methods can obtain accuracy within a few degrees [31] . A straightforward localization technique, involving three rotating reference beacons at the boundary of a sensor network providing localization for all interior nodes, is described in [32].…”

Section: Angle Measurementmentioning

confidence: 99%

Location, Localization, and Localizability

Liu

Yang

Wang

et al. 2010

J. Comput. Sci. Technol.

263

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Location-aware technology spawns numerous unforeseen pervasive applications in a wide range of living, production, commence, and public services. This article provides an overview of the location, localization, and localizability issues of wireless ad-hoc and sensor networks. Making data geographically meaningful, location information is essential for many applications, and it deeply aids a number of network functions, such as network routing, topology control, coverage, boundary detection, clustering, etc. We investigate a large body of existing localization approaches with focuses on error control and network localizability, the two rising aspects that attract significant research interests in recent years. Error control aims to alleviate the negative impact of noisy ranging measurement and the error accumulation effect during cooperative localization process. Network localizability provides theoretical analysis on the performance of localization approaches, providing guidance on network configuration and adjustment. We emphasize the basic principles of localization to understand the state-of-the-art and to address directions of future research in the new and largely open areas of location-aware technologies.Keywords location-based services (LBS), localization, error control, localizability, wireless ad-hoc and sensor networks LocationThe proliferation of wireless and mobile devices has fostered the demand for context-aware applications, in which location is viewed as one of the most significant contexts. For example, pervasive medical care is designed to accurately record and manage patient movements [1][2] ; smart space enables the interaction between physical space and human activities [3][4] ; modern logistics has major concerns on goods transportation, inventory, and warehousing [5][6] ; environmental monitoring networks sense air, water, and soil quality and detect the source of pollutants in real time [7][8][9][10][11] ; and mobile peer-to-peer computing encourages content sharing and contributing among mobile hosts in the vicinity [12][13] . In brief, location-based service (LBS) is a key enabling technology of these applications and widely exists in nowadays wireless communication networks from the short-range Bluetooth to the long-range telecommunication networks, as illustrated in Fig.1.Recent technological advances have enabled the development of low-cost, low-power, and multifunctional sensor devices. These nodes are autonomous devices with integrated sensing, processing, and communication capabilities. With the rapid development of wireless sensor networks (WSNs), location information becomes critically essential and indispensable. The overwhelming reason is that WSNs are fundamentally intended to provide information on spatial-temporal characteristics of the physical world; hence, it is important to associate sensed data with locations, making data geographically meaningful. For example, a number of applications, such as object tracking and environment monitoring, inherently rely on loc...

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“…The Cricket Compass [17] is a device which uses ultrasound to determine orientation with respect to a number of ceiling-mounted beacons. Two receivers are mounted a few centimeters apart on a portable device, and the phase difference of the ultrasonic signal is measured to determine bearing.…”

Section: Related Workmentioning

confidence: 99%

Radio Interferometric Angle of Arrival Estimation

Amundson

Sallai

Koutsoukos

et al. 2010

Lecture Notes in Computer Science

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Abstract. Several localization algorithms exist for wireless sensor networks that use angle of arrival measurements to estimate node position. However, there are limited options for actually obtaining the angle of arrival using resource-constrained devices. In this paper, we describe a radio interferometric technique for determining bearings from an anchor node to any number of target nodes at unknown positions. The underlying idea is to group three of the four nodes that participate in a typical radio interferometric measurement together to form an antenna array. Two of the nodes transmit pure sinusoids at close frequencies that interfere to generate a low-frequency beat signal. The phase difference of the measured signal between the third array node and the target node constrains the position of the latter to a hyperbola. The bearing of the node can be estimated by the asymptote of the hyperbola. The bearing estimation is carried out by the node itself, hence the method is distributed, scalable and fast. Furthermore, this technique does not require modification of the mote hardware because it relies only on the radio. Experimental results demonstrate that our approach can estimate node bearings with an accuracy of approximately 3 • in 0.5 sec.

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The cricket compass for context-aware mobile applications

Cited by 449 publications

References 15 publications

Autonomous indoor ultrasonic positioning system based on a low-cost conditioning circuit

Autonomous indoor ultrasonic positioning system based on a low-cost conditioning circuit

Location, Localization, and Localizability

Radio Interferometric Angle of Arrival Estimation

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